UB at CLEF 2005: Bilingual CLIR and Medical Image Retrieval Tasks

  • Miguel E. Ruiz
  • Silvia B. Southwick
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4022)


This paper presents the results of the State University of New York at Buffalo in the Cross Language Evaluation Forum 2005 (CLEF 2005). We participated in monolingual Portuguese, bilingual English-Portuguese and in the medical image retrieval tasks. We used the SMART retrieval system for text retrieval in the mono and bilingual retrieval tasks on Portuguese documents. The main goal of this part was to test formally the support for Portuguese that had been added to our system. Our results show an acceptable level of performance in the monolingual task. For the retrieval of medical images with multilingual annotations our main goal was to explore the combination of Content-Based Image Retrieval (CBIR) and text retrieval to retrieve medical images that have clinical annotations in English, French and German. We used a system that combines the content based image retrieval systems GIFT and the well known SMART system for text retrieval. Translation of English topics to French was performed by mapping the English text to UMLS concepts using MetaMap and the UMLS Metathesaurus. Our results on this task confirms that the combination of CBIR and text retrieval improves results significantly with respect to using either image or text retrieval alone.


Image Retrieval Machine Translation Relevance Feedback Text Retrieval Pseudo Relevance Feedback 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Miguel E. Ruiz
    • 1
  • Silvia B. Southwick
    • 1
  1. 1.School of Informatics, Dept. of Library and Information StudiesState University of New York at BuffaloBuffaloUSA

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